Promote the all-JAXJS medium release

Publish immutable release descriptors for the unified artifact revision and install the canonical all-JAXJS medium profile.

README.md

@@ -14,24 +14,23 @@ tags:
 
 Browser-ready JAXJS artifacts for the `medium` PJ OCR document parsing pipeline. The model set preserves MinerU-compatible document structure and is intended to run locally in the browser through jax-js and WebGPU.
 
-This repository packages converted artifacts only. Each model's `contract.json` records the upstream Hugging Face repository, pinned source revision, source file checksums, conversion contract, and Apache-2.0 license provenance.
+This repository packages converted artifacts only. Each model's `contract.json` records the upstream Hugging Face repository, pinned source revision, source file checksums, conversion contract, and upstream license provenance.
 
 ## Included Models
 
 | Pipeline role | Artifact | Weight dtype | Weight bytes |
 | --- | --- | --- | ---: |
 | Layout detection | `pp-doclayout-v3-fp16-jaxjs` | FP16 | 65,459,939 |
-| Layout rollback | `pp-doclayout-l-fp16-jaxjs` | FP16 | 64,568,988 |
 | Layout verification/rollback | `pp-doclayout-v3-jaxjs` | FP32 | 130,847,572 |
+| Layout rollback | `pp-doclayout-l-fp16-jaxjs` | FP16 | 64,568,988 |
 | Formula recognition | `pp-formulanet-plus-s-fp16-jaxjs` | FP16 | 128,454,765 |
-| Table recognition rollback | `slanet-plus-table-jaxjs` | FP32 | 7,687,834 |
-| Table classification | `mineru-table-classifier` | FP32 ONNX | 6,776,877 |
-| Table recognition | `mineru-slanet-plus-table-ort-web` | FP32 ONNX | 7,758,309 |
-| Wired table recovery | `mineru-unet-structure-table-fp16` | FP16 ONNX | 4,197,486 |
+| Table classification | `mineru-table-classifier-jaxjs` | FP32 | 6,753,977 |
+| Table recognition | `slanet-plus-table-jaxjs` | Mixed | 6,593,062 |
+| Wired table recovery | `mineru-unet-structure-table-fp16-jaxjs` | FP16 storage | 4,168,278 |
 | OCR detection | `ppocr-v6-medium-det-jaxjs` | FP32 | 61,974,931 |
-| OCR recognition | `ppocr-v6-medium-rec-jaxjs` | FP32 | 76,474,177 |
+| OCR recognition | `ppocr-v6-medium-rec-streaming-jaxjs` | FP32 shards | 76,508,326 |
 
-The selection is defined by [`model-sets/medium.json`](model-sets/medium.json). Canonical `medium` uses FP16 PP-DocLayoutV3. The non-default [`model-sets/medium-v3-candidate.json`](model-sets/medium-v3-candidate.json) preserves FP32 PP-DocLayoutV3 for release verification and explicit rollback. The filtered runtime manifest is [`models-jaxjs/manifest.json`](models-jaxjs/manifest.json).
+The selection is defined by [`model-sets/medium.json`](model-sets/medium.json). Canonical `medium` uses FP16 PP-DocLayoutV3, streaming PP-OCRv6 recognition, and the all-JAXJS MinerU table trio. The non-default [`model-sets/medium-v3-candidate.json`](model-sets/medium-v3-candidate.json) preserves FP32 PP-DocLayoutV3 for release verification and explicit rollback.
 
 ## Repository Layout
 
@@ -42,9 +41,12 @@ models-jaxjs/
   manifest.json
   pp-doclayout-v3-fp16-jaxjs/
   pp-doclayout-v3-jaxjs/
+  mineru-table-classifier-jaxjs/
+  slanet-plus-table-jaxjs/
+  mineru-unet-structure-table-fp16-jaxjs/
+  ppocr-v6-medium-rec-streaming-jaxjs/
   pp-doclayout-l-fp16-jaxjs/
   pp-formulanet-plus-s-fp16-jaxjs/
-  slanet-plus-table-jaxjs/
   ppocr-v6-medium-det-jaxjs/
   ppocr-v6-medium-rec-jaxjs/
 SHA256SUMS
@@ -56,7 +58,7 @@ Every artifact directory includes:
 - `metadata.json`: converted Paddle graph plan and preprocessing/postprocessing metadata.
 - `weights.safetensors`: active weights selected by the contract.
 - `sidecars/`: inference configuration and dictionaries required by the model-specific loader.
-- `constants/`: non-weight tensor shards when required. The layout artifacts include one boolean constant shard.
+- `constants/`: non-weight tensor shards when required. PP-DocLayout-L includes one boolean constant shard.
 
 ## Browser Loading
 
@@ -82,19 +84,16 @@ Use a commit SHA rather than `main` in production so contracts, metadata, sideca
 
 ## Integrity
 
-`SHA256SUMS` covers every packaged file other than itself. The weight checksum in each `contract.json` is also validated by the PJ OCR JAXJS artifact workflow. [`model-sets/releases/medium-v3.release.json`](model-sets/releases/medium-v3.release.json) pins both PP-DocLayoutV3 precision variants to an immutable artifact commit and records the size and SHA-256 of every required file.
+`SHA256SUMS` covers every packaged file other than itself. The weight checksum in each `contract.json` is also validated by the PJ OCR JAXJS artifact workflow.
 
 ## License and Provenance
 
-The selected upstream PaddlePaddle model repositories declare Apache-2.0 licensing. See each `contract.json` for its exact upstream repository and revision. The repository-level license text is provided in [`LICENSE`](LICENSE).
-
-
+The classifier and wired-table U-Net artifacts derive from AGPL-3.0 MinerU/PDF-Extract-Kit sources. SLANet-plus and the streaming PP-OCRv6 recognizer derive from Apache-2.0 sources, as do the packaged layout, formula, and OCR-detection artifacts. Each `contract.json` records its exact upstream repository, revision, and license. The repository includes both [`LICENSE`](LICENSE) and the applicable upstream notices under [`LICENSES/`](LICENSES/).
 
 ## PP-DocLayoutV3
 
-`pp-doclayout-v3-fp16-jaxjs` is the canonical `medium` layout model, with 25 explicit labels, polygons, and learned order. Its weights are 49.97% smaller than the FP32 artifact. In the bounded 15-page WebGPU comparison, FP16 reduced full-document elapsed time by 16.1% and increased throughput by 19.2%, with no failed pages. See [the V3 artifact report](docs/pp-doclayout-v3.md). The FP32 artifact remains available as an explicit verification and rollback profile.
-
+`pp-doclayout-v3-fp16-jaxjs` is the canonical browser layout artifact. `pp-doclayout-v3-jaxjs` remains available for release verification and explicit rollback. See [the V3 artifact report](docs/pp-doclayout-v3.md).
 
-## Candidate Table Stack
+## JAXJS Table Stack
 
-The [MinerU-aligned table stack](docs/mineru-table-stack.md) adds PP-LCNet classification, specialized table OCR/orientation, repaired SLANetPlus, and UnetStructure wired-table recovery. The upstream table checkpoints are AGPL-3.0; the Paddle JAXJS artifacts remain Apache-2.0. See [`LICENSES/`](LICENSES/). The default `medium` profile selects this verified table stack with FP16 PP-DocLayoutV3; `medium-slanet-only` remains the explicit legacy rollback.
+`medium` selects `mineru-table-classifier-jaxjs`, `slanet-plus-table-jaxjs`, and `mineru-unet-structure-table-fp16-jaxjs`. The composed lane checksum-verifies their release descriptor, the streaming OCR descriptor, and the published V3 descriptor before writing the repository checksum inventory. The layout, streaming OCR, and table descriptors all pin immutable artifact revision `3ebf4493fe544793ad72ece74cf4777b281460d6`.

SHA256SUMS

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@@ -74,4 +114,4 @@ df37193a55fb9ea98f24b33736f99e5d31713a210ff63c4aac18213ea511faa0  reports/mineru
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docs/pp-doclayout-v3.md

@@ -1,30 +1,39 @@
-# PP-DocLayoutV3 JAXJS artifacts
+# Canonical medium JAXJS release
 
-The canonical `medium` profile selects the FP16 PP-DocLayoutV3 artifact for browser WebGPU execution. The FP32 artifact remains published for release verification and explicit rollback.
-
-On the bounded 15-page `1512.00809v4.pdf` WebGPU comparison, FP16 completed in 74.845 seconds versus 89.237 seconds for FP32: 16.1% lower full-document elapsed time and 19.2% higher throughput. Both runs completed all 15 pages with 14 detected tables and no failed pages. FP16 storage is 49.97% smaller. This browser result does not remove the known CLI/WASM warm-memory risk, where JAXJS widens FP16 weights during upload.
+This composed release lane assembles canonical FP16 PP-DocLayoutV3, its explicit FP32 rollback, the streaming OCR recognizer, and the three all-JAXJS MinerU table artifacts before it installs `model-sets/medium.json`.
+The historical FP32 startup evidence remains relevant to the rollback artifact, while the FP16 browser result and CLI/WASM memory boundary are recorded separately.
 
 - Upstream: `PaddlePaddle/PP-DocLayoutV3`
 - Upstream revision: `7b48a7566925fa464281f930c58eee04fe2c862a`
-- FP16 weight SHA-256: `da8613530ea128d8e85d00be530fe02a29830e59308f6dc6c67e12fdb03e6a8f`
-- FP16 weight dtype: `float16`
-- FP32 weight SHA-256: `13492ac1f96d5340caa0f75e8c894a3b7d8e95d7c2e485fd5b671bee9a3df6f3`
-- Published artifact revision: `78ad71f021ad480ca365c3465aea6d8ed13a4f11`
-- Release descriptor: [`model-sets/releases/medium-v3.release.json`](../model-sets/releases/medium-v3.release.json)
-- License: Apache-2.0
-- WebGPU comparison: [`reports/pp-doclayout-v3/webgpu-fp16-experiment.json`](../reports/pp-doclayout-v3/webgpu-fp16-experiment.json)
+- Canonical FP16 weight SHA-256: `da8613530ea128d8e85d00be530fe02a29830e59308f6dc6c67e12fdb03e6a8f`
+- Canonical FP16 weight dtype: `float16`
+- FP32 rollback weight SHA-256: `13492ac1f96d5340caa0f75e8c894a3b7d8e95d7c2e485fd5b671bee9a3df6f3`
+- FP32 rollback weight dtype: `float32`
+- Published layout artifact revision: `3ebf4493fe544793ad72ece74cf4777b281460d6`
+- Streaming OCR artifact state: `published` (`3ebf4493fe544793ad72ece74cf4777b281460d6`)
+- JAXJS table artifact state: `published` (`3ebf4493fe544793ad72ece74cf4777b281460d6`)
+- Layout release descriptor: [`model-sets/releases/medium-v3.release.json`](../model-sets/releases/medium-v3.release.json)
+- Streaming OCR release descriptor: [`model-sets/releases/medium-ppocr-v6-medium-rec-streaming.release.json`](../model-sets/releases/medium-ppocr-v6-medium-rec-streaming.release.json)
+- Table release descriptor: [`model-sets/releases/medium-jaxjs-table.release.json`](../model-sets/releases/medium-jaxjs-table.release.json)
+- Layout license: Apache-2.0
+- Streaming OCR license: Apache-2.0
+- SLANet-plus license: Apache-2.0
+- Table classifier and wired-table U-Net licenses: AGPL-3.0
 - Precision report: [`reports/pp-doclayout-v3/precision-experiment.json`](../reports/pp-doclayout-v3/precision-experiment.json)
 - Promotion decision: [`reports/pp-doclayout-v3/promotion-decision.json`](../reports/pp-doclayout-v3/promotion-decision.json)
+- Browser WebGPU experiment: [`reports/pp-doclayout-v3/webgpu-fp16-experiment.json`](../reports/pp-doclayout-v3/webgpu-fp16-experiment.json)
 
-The historical promotion report records why the earlier FP32 candidate did not replace Layout-L. The later bounded WebGPU FP16 experiment is the evidence for the current browser default; the FP32 profile remains available for verification and rollback.
+The FP32 model remains an explicit non-default verification and rollback profile. Canonical `medium` selects FP16 PP-DocLayoutV3, the streaming OCR recognizer, and the all-JAXJS table trio; it never falls back to FP32 or ONNX implicitly. The layout, streaming OCR, and table descriptors all pin immutable artifact revision `3ebf4493fe544793ad72ece74cf4777b281460d6`.
 
 ## Reproduce
 
 From the OCR JS workspace with the pinned Paddle source available:
 
 ```bash
+pnpm jaxjs:convert-pp-doclayout-v3
 pnpm jaxjs:convert-pp-doclayout-v3-fp16
 pnpm --filter @ocr-js/pipeline-runner verify:pp-doclayout-v3
+pnpm jaxjs:stage-medium-release -- /path/to/pj-ocr-jaxjs-medium
 ```
 
-Conversion and frozen oracle checks do not require WebGPU. The performance result above requires the bounded WebGPU benchmark fixture and its memory guardrails.
+No WebGPU execution is required for conversion or the frozen WASM oracle checks.

model-sets/medium-published-hybrid.json

@@ -0,0 +1,14 @@
+{
+  "schemaVersion": 1,
+  "name": "medium-published-hybrid",
+  "description": "Use the currently published browser and Node stack: JAXJS layout, formula, and OCR models with the verified isolated ONNX/WASM MinerU table models.",
+  "models": {
+    "layout.det": "pp-doclayout-v3-fp16-jaxjs",
+    "formula.rec": "pp-formulanet-plus-s-fp16-jaxjs",
+    "table.rec": "mineru-slanet-plus-table-ort-web",
+    "table.cls": "mineru-table-classifier",
+    "table.wired": "mineru-unet-structure-table-fp16",
+    "ocr.det": "ppocr-v6-medium-det-jaxjs",
+    "ocr.rec": "ppocr-v6-medium-rec-streaming-jaxjs"
+  }
+}

model-sets/medium-v3-candidate.json

@@ -1,7 +1,7 @@
 {
   "schemaVersion": 1,
   "name": "medium-v3-candidate",
-  "description": "Non-default research profile using rejected-for-default FP32 PP-DocLayoutV3 with the verified MinerU-aligned table stack.",
+  "description": "Published FP32 PP-DocLayoutV3 release profile retained for artifact verification and explicit rollback.",
   "models": {
     "layout.det": "pp-doclayout-v3-jaxjs",
     "formula.rec": "pp-formulanet-plus-s-fp16-jaxjs",

model-sets/medium.json

@@ -1,14 +1,14 @@
 {
   "schemaVersion": 1,
   "name": "medium",
-  "description": "Use FP16 PP-DocLayoutV3 with the bounded formula/OCR JAXJS stack and the verified MinerU-aligned hybrid table pipeline.",
+  "description": "Use FP16 PP-DocLayoutV3 with the bounded formula/OCR JAXJS stack and an all-JAXJS MinerU table pipeline: mixed-storage SLANet, FP32 classifier, and FP16-storage U-Net.",
   "models": {
     "layout.det": "pp-doclayout-v3-fp16-jaxjs",
     "formula.rec": "pp-formulanet-plus-s-fp16-jaxjs",
-    "table.rec": "mineru-slanet-plus-table-ort-web",
-    "table.cls": "mineru-table-classifier",
-    "table.wired": "mineru-unet-structure-table-fp16",
+    "table.rec": "slanet-plus-table-jaxjs",
+    "table.cls": "mineru-table-classifier-jaxjs",
+    "table.wired": "mineru-unet-structure-table-fp16-jaxjs",
     "ocr.det": "ppocr-v6-medium-det-jaxjs",
-    "ocr.rec": "ppocr-v6-medium-rec-jaxjs"
+    "ocr.rec": "ppocr-v6-medium-rec-streaming-jaxjs"
   }
 }

model-sets/releases/medium-jaxjs-table.release.json

@@ -0,0 +1,86 @@
+{
+  "schemaVersion": 1,
+  "availability": "published",
+  "repository": "hf-dev-01/pj-ocr-jaxjs-medium",
+  "revision": "3ebf4493fe544793ad72ece74cf4777b281460d6",
+  "models": [
+    {
+      "id": "mineru-table-classifier-jaxjs",
+      "role": "table.cls",
+      "files": [
+        {
+          "path": "models-jaxjs/mineru-table-classifier-jaxjs/contract.json",
+          "sizeBytes": 23639,
+          "sha256": "9380d1ed89808475541cbb9aa28d2718c3c48f101e12a04e967d0b54ab6ee906"
+        },
+        {
+          "path": "models-jaxjs/mineru-table-classifier-jaxjs/metadata.json",
+          "sizeBytes": 77694,
+          "sha256": "2e0fe2bfec9dfab5642809d710dabf159f23901d10934c6603e4f96585d8f0d9"
+        },
+        {
+          "path": "models-jaxjs/mineru-table-classifier-jaxjs/weights.safetensors",
+          "sizeBytes": 6753977,
+          "sha256": "637048d9367755235a485ed7e9243ce30e48a3ca0fe75ca740c329b342c1d53b"
+        }
+      ]
+    },
+    {
+      "id": "slanet-plus-table-jaxjs",
+      "role": "table.rec",
+      "files": [
+        {
+          "path": "models-jaxjs/slanet-plus-table-jaxjs/contract.json",
+          "sizeBytes": 53850,
+          "sha256": "9989821bc72dbb43cd4eb5fbdeff2dd2c91283eaff86bed4ba1f8489252b8389"
+        },
+        {
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+          "sizeBytes": 703709,
+          "sha256": "a7c5c33b3969e813fd8273619f07f58a2c986dbd2805ba449f948d71648b2c9a"
+        },
+        {
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+          "sizeBytes": 6593062,
+          "sha256": "ef08870c0c99116248674b1622b3b795bfc609e2267179e1c1df78206cd4265c"
+        },
+        {
+          "path": "models-jaxjs/slanet-plus-table-jaxjs/sidecars/config.json",
+          "sizeBytes": 4897,
+          "sha256": "de63f29e0096cbfc7dcf772ae7dabc47c3e5348f29e949d9b4dda8875e90ea31"
+        },
+        {
+          "path": "models-jaxjs/slanet-plus-table-jaxjs/sidecars/inference.yml",
+          "sizeBytes": 2035,
+          "sha256": "8a6372d3269a6f112fe13a2da7952a84da6e112c10a3146cbb43de5bd01d19fa"
+        },
+        {
+          "path": "models-jaxjs/slanet-plus-table-jaxjs/sidecars/table_structure_dict_ch.txt",
+          "sizeBytes": 578,
+          "sha256": "68d344a84b726e043f390122240ff2b2ced2949b2a80ce9b61ae955054d190ef"
+        }
+      ]
+    },
+    {
+      "id": "mineru-unet-structure-table-fp16-jaxjs",
+      "role": "table.wired",
+      "files": [
+        {
+          "path": "models-jaxjs/mineru-unet-structure-table-fp16-jaxjs/contract.json",
+          "sizeBytes": 27177,
+          "sha256": "196cf7ca2ea86438ea7d63fff33da4fa28b22eda88dfbef2ec6986d4c969d05a"
+        },
+        {
+          "path": "models-jaxjs/mineru-unet-structure-table-fp16-jaxjs/metadata.json",
+          "sizeBytes": 117982,
+          "sha256": "677381cad66dda28f8f1084fd4a20e6cd6a07f439c7141ee630bb8f17542b334"
+        },
+        {
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+          "sizeBytes": 4168278,
+          "sha256": "7fabfbf25a62c662d866d963249d6f5cf6854674c7f9f8601fe0c2cd28152796"
+        }
+      ]
+    }
+  ]
+}

model-sets/releases/medium-ppocr-v6-medium-rec-streaming.release.json

@@ -0,0 +1,45 @@
+{
+  "schemaVersion": 1,
+  "availability": "published",
+  "repository": "hf-dev-01/pj-ocr-jaxjs-medium",
+  "revision": "3ebf4493fe544793ad72ece74cf4777b281460d6",
+  "models": [
+    {
+      "id": "ppocr-v6-medium-rec-streaming-jaxjs",
+      "role": "ocr.rec",
+      "files": [
+        { "path": "models-jaxjs/ppocr-v6-medium-rec-streaming-jaxjs/contract.json", "sizeBytes": 30620, "sha256": "758f896de2021dc0c68d06475b1fcba67cb82f68e0b5d74f49841dd4466b6a94" },
+        { "path": "models-jaxjs/ppocr-v6-medium-rec-streaming-jaxjs/metadata.json", "sizeBytes": 427890, "sha256": "810d14c95b35e7a19f036668a6c061ee12e580fe56e3119cf5608df0d844d4e9" },
+        { "path": "models-jaxjs/ppocr-v6-medium-rec-streaming-jaxjs/sidecars/inference.yml", "sizeBytes": 150580, "sha256": "991b700facf5b50a7de193468207d5f4255b538dde0d312ae3b7c7a9b6873129" },
+        { "path": "models-jaxjs/ppocr-v6-medium-rec-streaming-jaxjs/weights/chunk-0000.f32.bin", "sizeBytes": 3896832, "sha256": "f574bd8a1916f01d9519315a0181e34b328679db2246717e97d3738390739451" },
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+      ]
+    }
+  ]
+}

model-sets/releases/medium-v3.release.json

@@ -2,7 +2,7 @@
   "schemaVersion": 1,
   "availability": "published",
   "repository": "hf-dev-01/pj-ocr-jaxjs-medium",
-  "revision": "78ad71f021ad480ca365c3465aea6d8ed13a4f11",
+  "revision": "3ebf4493fe544793ad72ece74cf4777b281460d6",
   "models": [
     {
       "id": "pp-doclayout-v3-fp16-jaxjs",